Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dylantarre/animation-principles --skill brand-consistencygit clone --depth 1 https://github.com/dylantarre/animation-principlesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dylantarre/animation-principles/brand-consistency)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/brand-consistency"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/brand-consistency/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dylantarre/animation-principles/brand-consistency"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/brand-consistency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00598 |
| Opus 5 | $0.00010 | $0.00299 |
| Sonnet 5 | $0.00004 | $0.00120 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade A, and why
brand-consistency scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Consistency
Align animation style with brand identity using Disney's principles.
Problem Indicators
- Animation feels "off-brand"
- Generic motion that could be any product
- Inconsistent animation styles across features
- Motion conflicts with brand voice
- Users don't recognize the product's personality
Diagnosis by Principle
Appeal
Issue: Animation lacks distinctive character Fix: Define brand motion attributes. Is your brand playful (bouncy easing), professional (smooth, minimal), energetic (quick, snappy)?
Exaggeration
Issue: Wrong level of drama for brand Fix: Match exaggeration to brand personality. Luxury = subtle. Playful = bouncy. Corporate = restrained.
Timing
Issue: Speed doesn't match brand energy Fix: Fast brands: 100-200ms. Calm brands: 300-500ms. Define a timing scale and use consistently.
Squash and Stretch
Issue: Elastic effects conflict with serious brand Fix: Reserve squash/stretch for playful brands. Use scale transforms for professional brands.
Secondary Action
Issue: Details don't reinforce brand Fix: Secondary actions should amplify brand personality. A fun brand might have playful ripples; a serious brand uses subtle fades.
Quick Fixes
- Create a motion style guide - Document easing, duration, principles used
- Define 3-5 brand motion words - "Swift, precise, confident"
- Build reusable animation tokens - Consistent timing/easing variables
- Audit existing animations - Find outliers
- Create animation components - Enforce consistency through code
Troubleshooting Checklist
- Can you describe animation in 3 brand words?
- Does motion match brand voice guidelines?
- Are easing curves consistent across features?
- Is timing scale documented and followed?
- Would a competitor use identical animation?
- Do animations feel like the same product?
- Test: Show animation without UI—recognizable as your brand?
- Review with brand/design team
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 71 lines · 20 tokens per session scan A 8ee6be31c5f8
brand-consistency is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 20 tokens to every session and 598 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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